This paper optimizes the configuration of large-scale data centers toward cost-effective, reliable and sustainable cloud supply chains. We formulate an integer optimization model that optimizes the ...
Neuromorphic computing systems, encompassing both digital and analog neural accelerators, promise to revolutionize AI ...
Abstract: Grover adaptive search (GAS) is a quantum exhaustive search algorithm designed to solve binary optimization problems. In this article, we propose higher order binary formulations that can ...
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China’s solar-nuclear hybrid system reaches above 98% power reliability in tests
Researchers at China’s Guangdong Power Grid have proposed a new hybrid microgrid system that achieves an operational cost reduction of approximately 18.7% and a drop in carbon emission intensity of ...
Abstract: With the emerging proliferation of electric vehicles (EVs) in traffic, the optimal deployment of EV charging stations has become a critical issue due to the foreseeable significant impact on ...
This repository contains data associated with the paper: Garg, C., & Salahuddin, S. (2025). Efficient Optimization Accelerator Framework for Multistate Ising Problems ...
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